Jon Warner

2.6k citations
36 papers · 1.8k · h-index 21

Impact in

Papers in

Jon Warner

36 papers receiving 1.7k citations

Peers

Jon Warner
Comparison fields: 5 of 92
  • Cellular and Molecular Neuroscience 534
  • Neurology 326
  • Genetics 182
  • Molecular Biology 661
  • Genetics 240
Replace Marc Valentine with:
Marc Valentine United States
Rein P. Stulp Netherlands
Stephan Niemann Germany
Daniëlle Majoor‐Krakauer Netherlands
Keiji Kawamoto Japan
Inga Sörensen Germany
Frances Donovan United States
Helen Griffin United Kingdom
Hana M. Odeh United States
Abhik Ray‐Chaudhury United States
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Citations per field
00.5×3.4×
Marc Valentine · 1×
Citations per year

Countries citing papers authored by Jon Warner

Since Specialization
Citations

This map shows the geographic impact of Jon Warner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jon Warner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Warner more than expected).

Fields of papers citing papers by Jon Warner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Warner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jon Warner. The network helps show where Jon Warner may publish in the future.

Co-authors

The 25 scholars most cited alongside Jon Warner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Warner Line = papers co-authored together Jon Warner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992271
2 1996211
3 1993191
4 1995125
5 1995120
6 201790
7 199486
8 201877
9
Structural analysis of the human ret proto-oncogene using exon trapping.
199366
10 200759
11 200142
12 199341
13 199238
14 201634
15 201634
16 199534
17 201525
18 199423
19 199923
20 199621

About Jon Warner

Jon Warner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Surgery and Neurology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (10 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Pancreatic function and diabetes (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Mitochondrial Function and Pathology (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (534 citations), Neurology (326 citations), Genetics (182 citations), Molecular Biology (661 citations) and Genetics (240 citations). Jon Warner has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Christian Gerber, Robert J. Krushell, Alain‐Charles Masquelet, D. J. H. Brock, David T. Bonthron, D. J. H. Brock, Mary Porteous, David Fitzpatrick, Lisa Strain and David Goudie. Their work appears in journals such as Journal of Medical Genetics, Gene, Journal of Neurology Neurosurgery & Psychiatry, Journal of Medical Screening and Human Molecular Genetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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